Computer Based Analysis and Recognition of Heart Sound

摘要：

A novel heart sound (HS) analysis and recognition system is presented. Features are extracted from the normalized average Shannon energy (NASN) in wavelet domain. These features are used as inputs to the Full Bayesian Neural Networks (FBNN) for HS recognition. A total of 120 HS are used to train FBNNM for 6 different classes. The results show the suggested methodology offers a promising recognition of HS.

关键词： heart sound signal recognition Neural Network normalized average Shannon energy

作者: Zhou Jing He Wei Dan Chunmei Que Xiaosheng

作者单位: State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing Unive

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2076-2079

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）